Triple

T9569787
Position Surface form Disambiguated ID Type / Status
Subject Edinburgh BioQuarter E230883 entity
Predicate regionSpecialism P21480 FINISHED
Object regenerative medicine and stem cell research LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: regenerative medicine and stem cell research | Statement: [Edinburgh BioQuarter, regionSpecialism, regenerative medicine and stem cell research]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionSpecialism
Context triple: [Edinburgh BioQuarter, regionSpecialism, regenerative medicine and stem cell research]
  • A. regionSpecialization chosen
    Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
  • B. specializationRegion
    Indicates that something is specialized, adapted, or specifically applicable to a particular geographic or spatial region.
  • C. regionOfPractice
    Indicates the geographic area or jurisdiction in which an entity regularly conducts its professional activities or services.
  • D. hasSpecialty
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • E. positionSpecialization
    Indicates that one position is a more specialized or focused variant of another, broader position.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998940c881909f9025512cf72fe9 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd59b960c8190966a8870a2426bd5 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:04 p.m.